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Table 9 Decompositions for subsamples of males and females with pay gap rows bolded

From: Exploring the public-private sector wage gap in European countries

 

AT

BE

BG

CY

CZ

DE

DK

EE

ES

FI

GR

HU

IE

IS

FULL SAMPLE

              

public

2.847***

2.842***

0.428***

2.538***

1.539***

2.829***

3.211***

1.399***

2.536***

2.933***

2.507***

1.389***

3.180***

3.235***

private

2.753***

2.839***

0.311***

2.242***

1.333***

2.794***

3.162***

1.266***

2.253***

2.805***

2.173***

1.098***

3.023***

3.082***

difference

0.095***

0.004

0.117***

0.296***

0.206***

0.034***

0.049**

0.133***

0.283***

0.128***

0.334***

0.291***

0.157***

0.153***

explained

0.092***

0.036***

0.087***

0.097***

0.091***

0.087***

0.001

0.111***

0.151***

0.115***

0.144***

0.133***

0.061***

0.066***

pub. adv.

0.003

-0.028**

0.027

0.176***

0.108***

-0.045***

0.046**

0.020

0.115***

0.012

0.159***

0.143***

0.081***

0.078**

pri. disadv.

0.000

-0.005**

0.002

0.023***

0.007***

-0.007***

0.002**

0.001

0.017***

0.001

0.031***

0.014***

0.014***

0.008**

Obs.

2,963

3,224

3,031

2,862

8,484

6,559

4,551

4,011

8,601

3,453

3,104

5,943

1,965

1,083

FEMALE

              

public

2.763***

2.828***

0.290***

2.313***

1.425***

2.771***

3.163***

1.285***

2.472***

2.800***

2.428***

1.367***

3.145***

3.094***

private

2.634***

2.787***

0.192***

2.056***

1.192***

2.680***

3.058***

1.083***

2.195***

2.700***

2.084***

1.046***

2.953***

3.006***

difference

0.129***

0.041

0.098*

0.257***

0.233***

0.091***

0.104***

0.202***

0.277***

0.099***

0.344***

0.321***

0.192***

0.088

explained

0.060**

0.009

0.071***

0.070

0.100***

0.066***

-0.001

0.149***

0.160***

0.102***

0.109***

0.106***

0.080***

0.051*

pub. adv.

0.063**

0.027

0.026

0.170***

0.125***

0.021

0.100***

0.049*

0.101***

-0.003

0.199***

0.195***

0.094***

0.033

pri. disadv.

0.006*

0.005

0.002

0.018***

0.009***

0.004

0.005***

0.004*

0.016***

-0.000

0.035***

0.020***

0.019***

0.004

Obs.

941

1,087

1,467

1,332

3,858

2,124

2,125

2,072

3,498

1,681

1,219

2,894

771

477

MALE

              

public

2.880***

2.851***

0.533***

2.674***

1.647***

2.861***

3.264***

1.550***

2.585***

3.056***

2.552***

1.412***

3.207***

3.354***

private

2.809***

2.864***

0.425***

2.411***

1.449***

2.848***

3.252***

1.458***

2.292***

2.904***

2.231***

1.148***

3.067***

3.142***

difference

0.071**

-0.013

0.108**

0.263***

0.199***

0.013

0.012

0.092**

0.292***

0.152***

0.320***

0.264***

0.140***

0.212***

explained

0.096***

0.056***

0.063***

0.041*

0.106***

0.109***

0.027*

0.078***

0.148***

0.119***

0.154***

0.162***

0.072***

0.086**

pub. adv.

-0.023

-0.059***

0.041

0.192***

0.088***

-0.083***

-0.015

0.014

0.126***

0.031

0.138***

0.092***

0.058**

0.115**

pri. disadv.

-0.002

-0.009***

0.004

0.030***

0.005***

-0.013***

-0.001

0.001

0.017***

0.002

0.029***

0.009***

0.009**

0.012**

Obs.

2,022

2,137

1,564

1,530

4,626

4,435

2,426

1,939

5,103

1,772

1,885

3,049

1,194

606

 

IT

LT

LU

LV

NL

NO

PL

PT

RO

SE

SI

SK

UK

 

FULL SAMPLE

              

public

2.719***

1.221***

3.297***

1.486***

3.227***

3.171***

1.451***

2.047***

0.814***

2.928***

2.235***

1.185***

3.007***

 

private

2.489***

1.062***

2.962***

1.106***

3.092***

3.200***

1.178***

1.770***

0.520***

2.858***

2.009***

1.043***

2.909***

 

difference

0.230***

0.159***

0.335***

0.380***

0.134***

-0.029

0.273***

0.277***

0.294***

0.070*

0.226***

0.142***

0.098***

 

explained

0.143***

0.142***

0.106***

0.241***

0.070***

0.044***

0.210***

0.124***

0.184***

0.042*

0.225***

0.063***

0.001

 

pub. adv.

0.077***

0.015

0.212***

0.124***

0.056***

-0.069***

0.058***

0.135***

0.104***

0.027

0.001

0.068***

0.086***

 

pri. disadv.

0.010***

0.001

0.017***

0.015***

0.008***

-0.004***

0.005***

0.017***

0.006***

0.001

0.000

0.011***

0.011***

 

Obs.

10,219

3,575

2,912

3,726

2,485

2,128

8,586

2,777

4,588

2,493

3,365

5,521

4,439

 

FEMALE

              

public

2.659***

1.170***

3.163***

1.467***

3.111***

3.060***

1.363***

1.971***

0.688***

2.764***

2.201***

1.099***

2.941***

 

private

2.444***

0.935***

2.873***

1.012***

3.010***

3.085***

1.112***

1.718***

0.441***

2.750***

1.982***

0.927***

2.812***

 

difference

0.215***

0.235***

0.290***

0.455***

0.101***

-0.025

0.251***

0.253***

0.247***

0.014

0.219***

0.172***

0.129***

 

explained

0.131***

0.141***

0.035

0.267***

0.010

0.039**

0.206***

0.094**

0.132***

-0.055**

0.187***

0.100***

0.007

 

pub. adv.

0.075***

0.086**

0.241***

0.167***

0.079***

-0.060*

0.041**

0.144***

0.111**

0.065

0.029

0.059***

0.104***

 

pri. disadv.

0.010***

0.008**

0.013***

0.021***

0.012***

-0.005*

0.005**

0.015***

0.005**

0.004

0.003

0.013***

0.018***

 

Obs.

3,614

1,832

922

1,984

535

834

3,811

1,297

2,045

1,049

1,685

2,700

1,816

 

MALE

              

public

2.749***

1.275***

3.336***

1.510***

3.264***

3.277***

1.553***

2.099***

0.879***

3.049***

2.275***

1.327***

3.081***

 

private

2.514***

1.195***

3.005***

1.212***

3.115***

3.272***

1.229***

1.818***

0.585***

2.936***

2.035***

1.145***

2.972***

 

difference

0.235***

0.079*

0.331***

0.299***

0.149***

0.006

0.324***

0.281***

0.294***

0.113**

0.240***

0.182***

0.109***

 

explained

0.143***

0.127***

0.104***

0.219***

0.098***

0.089***

0.244***

0.137***

0.180***

0.117***

0.268***

0.099***

0.034*

 

pub. adv.

0.081***

-0.044

0.209***

0.072*

0.045***

-0.079***

0.074***

0.126***

0.107***

-0.004

-0.027

0.075***

0.067***

 

pri. disadv.

0.011***

-0.004

0.019***

0.008*

0.006***

-0.004***

0.006***

0.018***

0.007***

-0.000

-0.002

0.008***

0.007***

 

Obs.

6,605

1,743

1,990

1,742

1,950

1,294

4,775

1,480

2,543

1,444

1,680

2,821

2,623

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